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README.txt
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README.txt
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Thank for using our script/material and paper:
Polanco-Martínez, J.M., Fernández-Macho, J. & Medina-Elizalde, M. Dynamic wavelet correlation analysis for multivariate climate time series. Sci Rep 10, 21277 (2020). https://doi.org/10.1038/s41598-020-77767-8
We would grateful if you cite us ;).
Please, the R script to generate all the figures is:
1. "script_polanco_et_al_2020_SciRep.R",
2. inputs: sstmdr_500_1850.txt, nino3all_500_1850.txt, amoall_500_1850.txt, TCStatModelRecon_500_1850.txt
3. outputs: wlmc_2vars_500_1850.pdf, wlmc_3vars_500_1850.pdf, wlmc_4vars_500_1850.pdf
4. Enjoy it :-)
Thank you so much and do not hesitate to contact us if you have any doubts/suggestions/potential collaborations, etc.
--
Josué M. POLANCO-MARTINEZ, PhD
Associate Researcher
Basque Centre for Climate Change (BC3)
Basque Excellence Research Centre (BERC) - Unit of Excellence María de Maeztu
Leioa, Bizkaia, SPAIN
Email: [email protected], [email protected]
Web, RG, Scholar & ORCID profiles:
https://www.bc3research.org/index.php?option=com_researcher&task=view&rese=178&Itemid=345
https://www.researchgate.net/profile/Josue_Polanco-Martinez
https://scholar.google.com/citations?user=8djLIhcAAAAJ&hl=en
https://orcid.org/0000-0001-7164-0185
Latest contributions:
1) www.nature.com/articles/s41598-020-77767-8
2) https://doi.org/10.1016/j.ecoinf.2020.101163
3) https://doi.org/10.1016/j.scitotenv.2020.141851
4) https://CRAN.R-project.org/package=RolWinMulCor
5) https://www.clim-past-discuss.net/cp-2019-147/